New perspective of diabetes response to an antioxidant treatment through metabolic fingerprinting of urine by capillary electrophoresis

Vallejo, María S.; Angulo, Santiago; García-Martínez, Diana; Garcı́a, Antonia; Barbas, Coral

doi:10.1016/j.chroma.2008.02.024

Cited by 30 publications

(24 citation statements)

References 14 publications

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“…The obtained fingerprints can be used as a unique identification tool to evaluate the authenticity of a herbal sample, the quality and assurance of the consistency, and the stability of a herbal medicine. Nowadays, the combination of (hyphenated) chromatographic instruments and chemometrical approaches for data (pre-) treatment allows a fast investigation of herbal samples [4][5][6][7][8][9][10][11]. Moreover, chemometric treatment of the chromatographic fingerprints also allows modeling and predicting pharmacological activities (e.g.…”

Section: Introductionmentioning

confidence: 99%

Potentially antioxidant compounds indicated from Mallotus and Phyllanthus species fingerprints

Thiangthum¹,

Dejaegher²,

Goodarzi³

et al. 2012

Journal of Chromatography B

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Section: Introductionmentioning

confidence: 99%

Potentially antioxidant compounds indicated from Mallotus and Phyllanthus species fingerprints

Thiangthum¹,

Dejaegher²,

Goodarzi³

et al. 2012

Journal of Chromatography B

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“…CE-DAD is a powerful and inexpensive separation tool. It has been successfully applied in untargeted analysis in mice [26]. García-Pérez et al [27] demonstrated the effectiveness of CE-DAD for non-targeted metabolic differentiation of Schistosoma mansoni infection in mice.…”

Section: Introductionmentioning

confidence: 98%

Untargeted metabolite analysis of healthy and Huanglongbing‐infected orange leaves by CE‐DAD

2009

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Huanglongbing (HLB) is considered the most destructive bacterial citrus disease worldwide. Early detection of HLB is crucial for minimizing its spread. CE was used for the discovery of potential biomarkers for HLB. Optimization of extraction and separation allowed resolving 24 compounds of which 6 were present in significantly higher (p<0.05) concentrations in HLB-infected samples collected monthly for 6 months during the 2007-2008 season. Three of these compounds were identified by mobility and UV spectra as hesperidin, naringenin, and quercetin with mean increase in concentration of 154, 555, and 467%, respectively, above that in healthy leaves. Results support the potential of CE-DAD for untargeted plant metabolomic analysis. CZE, NACE, and MEEKC were compared for metabolic differentiation of healthy and HLB-infected citrus leaves. CZE in a semi-aqueous BGE solution consisting of 8.5 mM of sodium borate (pH 9.3), 15% ACN, and 9% 1-butanol yielded the best peak separation with detection at 190 nm.

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“…Normalization is applied to each electrophoretic profile mainly to correct for the different dilutions in the samples. In each case, three different scaling procedures were applied to the variables: unit variance, pareto and center [4,13]. The comparison procedure was to apply the same number of components, three for principal component analysis and two for PLS-DA, to all the normalization procedures.…”

Section: Resultsmentioning

confidence: 99%

“…They were baseline corrected and multialigned with an algorithm developed in Matlab. To determine the influence of different normalization procedures, the following six were tested: to creatinine area, total area in the profile, standard normal variate transformation, range, module of the profile and maximum in the global profile [4,13]. Normalization is applied to each electrophoretic profile mainly to correct for the different dilutions in the samples.…”

Section: Resultsmentioning

confidence: 99%

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The autocorrelation matrix probing biochemical relationships after metabolic fingerprinting with CE

Angulo¹,

García-Pérez²,

Legido‐Quigley³

et al. 2009

Electrophoresis

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Fingerprinting together with statistical analysis is often employed to compare samples in metabonomic studies of a disease. Correlation algorithms can aid by extracting information based on the variation patterns of key metabolites. This information can be linked to metabolite identification or to specific up/down-regulated biochemical pathways. Matlab-based software employing the Pearson's correlation algorithm was applied to urine electropherograms from 20 mice infected with the schistosoma parasite. The fingerprints were the sum of electropherograms analysed with normal and reverse polarity, in two different modes MEKC and CZE and with two different capillaries (uncoated and polyacrylamide coated) to provide a broad picture of the samples. Hippurate, a metabolite that was depleted in the infected group and is present in both polarities, was chosen as a test variable; it correlated with itself to a p value of <0.000. Phenylacetylglycine, a metabolite shown as over expressed in the disease, was positively correlated to three metabolites in its same pathway with a correlation coefficient of 0.7 and p<0.000 to phenylalanine, 0.7 and p<0.000 to 2-hydroxyphenylacetic and 0.55 and p<0.003 to phenylacetate. The study shows that the autocorrelation matrix is able to provide extra information from data files acquired by CE analyses. It underlined an up-regulated metabolic path by association in the schistosoma infection model.

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New perspective of diabetes response to an antioxidant treatment through metabolic fingerprinting of urine by capillary electrophoresis

Cited by 30 publications

References 14 publications

Potentially antioxidant compounds indicated from Mallotus and Phyllanthus species fingerprints

Potentially antioxidant compounds indicated from Mallotus and Phyllanthus species fingerprints

Untargeted metabolite analysis of healthy and Huanglongbing‐infected orange leaves by CE‐DAD

The autocorrelation matrix probing biochemical relationships after metabolic fingerprinting with CE

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